Paper: | SA-PM-SS1.3 |
Session: | The Use of Shape in Biomedical Imaging |
Time: | Saturday, April 8, 15:30 - 15:50 |
Presentation: |
Special Session Oral
|
Title: |
Statistics of populations of images and its embedded objects: Driving applications in neuroimaging |
Authors: |
Guido Gerig; University of North Carolina at Chapel Hill | | |
| Sarang Joshi; University of North Carolina at Chapel Hill | | |
| Tom Fletcher; University of Utah | | |
| Kevin Gorczowski; University of North Carolina at Chapel Hill | | |
| Shun Xu; University of North Carolina at Chapel Hill | | |
| Stephen M. Pizer; University of North Carolina at Chapel Hill | | |
| Martin Styner; University of North Carolina at Chapel Hill | | |
Abstract: |
Work in progress towards modeling shape statistics of multi-object complexes is presented. Constraints defined by the set of objects such as a compact representation of object shape relationships and correlation of shape changes might have advantages for automatic segmentation and group discrimination. We present a concept for statistical multi-object modeling and discuss the major challenges which are a reduction to a small set of descriptive features, calculation of mean and variability via curved statistics, the choice of aligning sets of multiple objects, and the problem of describing the statistics of object pose and object shape and their interrelationship. Shape modeling and analysis is demonstrated with an application to a longitudinal autism study, with shape modeling of sets of 10 subcortical structures in a population of 20 subjects. |